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Ultra-sensitive RDT performance and antigen dynamics in a high-transmission Plasmodium falciparum setting in Mali

Authors :
Rebecca Barney
Allison Golden
Ihn Kyung Yang
Mahamadoun H. Assadou
Merepen A. Guindo
Patrick E. Duffy
Issaka Sagara
Jen C. C. Hume
Emily N. Reichert
Sara A. Healy
Hannah C Slater
Andy Rashid
Gonzalo J. Domingo
Source :
Malaria Journal, Vol 19, Iss 1, Pp 1-10 (2020), Malaria Journal
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Background The recent expansion of tools designed to accurately quantify malaria parasite-produced antigens has enabled us to evaluate the performance of rapid diagnostic tests (RDTs) as a function of the antigens they detect—typically histidine rich protein 2 (HRP2) or lactate dehydrogenase (LDH). Methods For this analysis, whole blood specimens from a longitudinal study in Bancoumana, Mali were used to evaluate the performance of the ultra-sensitive HRP2-based Alere™ Malaria Ag P.f RDT (uRDT). The samples were collected as part of a transmission-blocking vaccine trial in a high transmission region for Plasmodium falciparum malaria. Furthermore, antigen dynamics after successful anti-malarial drug treatment were evaluated in these samples using the Q-Plex Human Malaria Array (4-Plex) to quantify antigen concentrations. Results The uRDT had a 50% probability of a positive result at 207 pg/mL HRP2 [95% credible interval (CrI) 160–268]. Individuals with symptomatic infection remained positive by uRDT for a median of 33 days [95% confidence interval (CI) 28–47] post anti-malarial drug treatment. Biphasic exponential decay models accurately captured the population level post-treatment dynamics of both HRP2 and Plasmodium LDH (pLDH), with the latter decaying more rapidly. Motivated by these differences in rates of decay, a novel algorithm that used HRP2:pLDH ratios to predict if an individual had active versus recently cleared P. falciparum infection was developed. The algorithm had 77.5% accuracy in correctly classifying antigen-positive individuals as those with and without active infection. Conclusions These results characterize the performance of the ultra-sensitive RDT and demonstrate the potential for emerging antigen-quantifying technologies in the field of malaria diagnostics to be helpful tools in distinguishing between active versus recently cleared malaria infections.

Details

ISSN :
14752875
Volume :
19
Database :
OpenAIRE
Journal :
Malaria Journal
Accession number :
edsair.doi.dedup.....8ad886d551380c54df78d0aa9e14e603